AI Platform Engineer

avec compétence GmbH; Baden; On-site; CHF 120,000 - 190,000; Full time

Benefits offered by this job

Remote work up to 50%

Interim contract 3-6 months

Potential permanent position

Job summary

avec compétence GmbH seeks an experienced Platform Engineer to build and run production backend and AI governance services. You will integrate LLM routing, model access, and tool registration with secure deployments. Fluent English is required; German is a plus.

You will work 80-100% with up to 50% remote, shaping the platform roadmap and collaborating with product teams. And you will implement observability, cost controls, latency and reliability metrics, and contribute to evaluating

Qualifications

• Several years of experience building and operating production-grade backend or platform systems.
• Strong Python and API engineering skills.
• Practical experience with containers, Kubernetes, CI/CD, cloud infrastructure and monitoring.
• Experience with identity and access management, secrets and network controls.
• Genuine interest in AI models, their evaluation and governance.
• Fluent English; German useful but not required.

Responsibilities

• Develop and operate platform services for LLM routing, model access and tool registration
• Build the deployment path from repository to running, SSO-protected application
• Engineer secure execution environments with isolated runtimes and vulnerability checks
• Create reusable APIs, SDKs, templates and documentation for product teams
• Contribute to assessment of open-weight models and inference providers
• Establish observability and evaluation patterns for cost, latency, quality and reliability
• Support platform users and shape the platform roadmap

Skills

Python

API engineering

Kubernetes

CI/CD

Cloud infra

Monitoring

IAM

Security

Tools

Docker

Job description

You build and operate the platform services and secure infrastructure that enable AI-assisted applications across the organisation. The role combines backend platform engineering with AI governance and security.

Tasks

• Develop and operate platform services for LLM routing, model access and tool registration
• Build the deployment path from repository to running, SSO-protected application
• Engineer secure execution environments with isolated runtimes and vulnerability checks
• Create reusable APIs, SDKs, templates and documentation for product teams
• Contribute to assessment of open-weight models and inference providers
• Establish observability and evaluation patterns for cost, latency, quality and reliability
• Support platform users and shape the platform roadmap

Profile

• Several years of experience building and operating production-grade backend or platform systems
• Strong Python and API engineering skills
• Practical experience with containers, Kubernetes, CI/CD, cloud infrastructure and monitoring
• Experience with identity and access management, secrets and network controls
• Genuine interest in AI models, their evaluation and governance
• Fluent English; German useful but not required

Offer

• 80-100% workload
• Option to work up to 50% remotely
• 3-6 months interim, then a permanent position

Company

Energy supply